gpt-oss-20b with Hermes Agent
MXFP4 (official GGUF) on llama.cpp commit a37cc46. Tested
Task completion
90% (27/30)
Tool-call success
77.5%
Decode tok/s
79.4
Prefill tok/s
4999.6
Server memory
12.5 GB
Avg turns
5.3
Setup
- Model
- gpt-oss-20b
- Family / maker
- gpt-oss · OpenAI
- Parameters
- 20B
- Architecture
- MoE
- Weights
- ggml-org/gpt-oss-20b-GGUF
- Quant
- MXFP4 (official GGUF)
- Engine
- llama.cpp commit a37cc46
- Hermes Agent
- v0.22.4
- Tested
- 2026-10-22
- Context
- 64K (65,536 tokens); long-context task t09 at 128K or 192K
- Memory tier
- ≤16 GB (measured)
Per-task results
- t01: 3/3
- t02: 3/3
- t03: 3/3
- t04: 3/3
- t05: 1/3
- t06: 3/3
- t07: 3/3
- t08: 2/3
- t09: 3/3 (rerun 2026-10-23, 128K context)
- t10: 3/3
Copy-paste config
1. Start the model server (llama.cpp)
Exact command used in our test. Download the GGUF from ggml-org/gpt-oss-20b-GGUF into ./models/.
llama-server --model ./models/gpt-oss-20b-MXFP4.gguf --alias gpt-oss-20b --host 127.0.0.1 --port 18080 --ctx-size 65536 --parallel 1 --n-gpu-layers 999 --flash-attn on --jinja2. Point Hermes Agent at it
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:18080/v1
hermes config set model.default gpt-oss-20bOther gpt-oss setups
- gpt-oss-120b · MXFP4 (official GGUF) · llama.cpp